Publikationen

Autor	Traverso, Giulia; Garcia Cordero, Carlos; Nojoumian, Mehrdad; Azarderakhsh, Reza; Demirel, Denise; Habib, Sheikh Mahbub; Buchmann, Johannes
Datum	2017
Art	Conference Proceedings
Abstrakt	In distributed storage systems, documents are shared among multiple Cloud providers and stored within their respective storage servers. In social secret sharing-based distributed storage systems, shares of the documents are allocated according to the trustworthiness of the storage servers. This paper proposes a trust mechanism using machine learning techniques to compute evidence-based trust values. Our mechanism mitigates the effect of colluding storage servers. More precisely, it becomes possible to detect unreliable evidence and establish countermeasures in order to discourage the collusion of storage servers. Furthermore, this trust mechanism is applied to the social secret sharing protocol AS3, showing that this new evidence-based trust mechanism enhances the protection of the stored documents.
Konferenz	15th Annual Conference on Privacy, Security and Trust (PST)
Schlüssel	TUD-CS-2017-0237
Url	https://tubiblio.ulb.tu-darmstadt.de/id/eprint/98115

Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems